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Non-biased interval estimation of Leslie's removal method
Akamine, T., Kishino, H., & Hiramatsu, K. (1992). Non-biased interval estimation of Leslie's removal method.
Leslie's removal method, which is used to estimate the initial population size and the removal ratio simultaneously, is modeled in terms of the product of binomial distributions. The approximation of these binomial distributions to the standard normal distribution presents a new method which has no bias for estimators. This is an improvement over the maximum likelihood method and the likelihood ratio test, and is essentially equivalent to a standard goodness-of-fit test. The confidence region on the 2-dimensional plane defined by the initial population size and the removal ratio gives each confidence interval. This region is defined by the chi-square distribution with 2 degrees of freedom.
Non-biased interval estimation of Leslie's removal methodAkamine, T.Kishino, H.Hiramatsu, K.openurl:?ctx_ver=Z39.88-2004&rfr_id=info%3Asid%2Fwww.pivi.de%2Frefbase-0.9.5%2F&title=Non-biased%20interval%20estimation%20of%20Leslie%27s%20removal%20method&date=1992&issue=42&spage=25&epage=39&aulast=Akamine&aufirst=T.&au=Kishino%2C%20H.&au=Hiramatsu%2C%20K.&sid=refbase%3Acitekey:Akamine_etal1992Akamine, T., Kishino, H., & Hiramatsu, K. (1992). Non-biased interval estimation of Leslie's removal method.1992Zeitschrift, ArtikeltextFisch, statistik, modell, binominal, population, basic, listingBull. Japan Sea Natl. Fish. Res. Inst. Nissuiken Hokoku1992422539